2007 Blog Forecasting Manufacturing Procurement 
Supply Chain Shaman
FEBRUARY 14, 2022
Notice how the water turns from blue to brown in Figure 3 with the lack of demand translation capabilities within the enterprise for manufacturing and logistics. Orchestration enables companies to effectively manage trade-offs between source, make, deliver and sell.) I give you this evidence in this blog.). Measure it.
EazyStock
MARCH 14, 2023
The right purchasing and logistics strategies give companies an edge during these unique, uncertain times and, during the return “to normal,” a greater competitive advantage and continued growth. Rapid cost increases, interest rate hikes and reduced demand require more effective inventory management and forecasting attention.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Supply Chain Shaman
OCTOBER 8, 2019
This blog post formed in my head as I worked with clients this month. The number one question that I am asked today by manufacturers across all industries is “How can I improve customer service?” The budget is not sufficient and is often a detrimental input for supply chain forecasting. Background. Bias and error.
AB&R
NOVEMBER 20, 2023
The initiative was officially put on hold in 2007 as a result. The pandemic accelerated the Buy Online Pick Up in Store (BOPIS) model, which accounted for $72 billion in purchases in 2020, having greater inventory accuracy grew ever more important. Ultimately, though, tags were expensive, and the technology was not reliable enough.
Supply Chain Shaman
MARCH 8, 2016
As an analyst in the supply chain market for 15 years, I have written many articles on best-of-breed technology companies purchased by a larger company. The initial software product release name was Real-Time Forecasting. DS replaced rules-based forecast consumption with better math (statistics and pattern recognition).
Supply Chain Shaman
AUGUST 26, 2015
As the markets plummet, it is time to remind ourselves that demand is not a forecast. Traditional forecasting approaches are not adequate in a time of market volatility. In the real world, companies operate with a Mean Absolute Forecast Error of 24-60%, and have a bias of 9-40%. I remember December 2007 like yesterday.
Supply Chain Shaman
APRIL 7, 2016
During the afternoon, as I quietly held the pieces for Jake’s monster, my mind composed my blog post for the week. I am a manufacturing gal by training. Today, supply chains do not use sentiment data–blogs, rating and reviews, social data on Twitter and Facebook, and call center logs in supply chain processes.
Expert insights. Personalized for you.
195 
Let's personalize your content